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# Principal Associate, Data Scientist - Recommendation & Personalization Systems

- **Company:** The Information Technology
- **Location:** McLean, VA, United States
- **Salary:** $161,800.0 - $201,400.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Big Data, Python (Programming Language), Machine Learning, Open Source Technology, Standard Sql, Cloud Platform System, Information Technology, Data Analytics
- **Published:** September 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=286db4b536f9ca3b

## About the Role

* Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
 * Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
 * A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science., * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
 + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
 + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
 + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field), * Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)
 * At least 3 years of experience in Python, Scala, or R
 * At least 3 years of experience with machine learning
 * At least 3 years of experience with SQL
 * At least 1 year of experience working with AWS



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